full transcript

From the Ted Talk by Thomas Crowther: The global movement to restore nature's biodiversity

Unscramble the Blue Letters

For this, we nedeed the knowledge of experts all over the world. So we began bidnulig a new network. The more people we contacted, the more data we received, and the more clearly patterns began to emerge. With data from over 1.2 million forests, we were able to build new machine lenainrg models to predict fosret structure around the wlrod. For the first time, we could see that our earth is home to just over three trillion trees, almost half of what existed before human civilization. We could see where the different species are distributed and how carbon is sorted in this massive sytesm. But this approach could also show us something more tmfitvnoaasrre. Using the same models, we could begin to see where trees might naturally grow under the existing climate. And this suggested that outside of urban and agricultural areas, there's 0.9 billion heaectrs where trees would naturally exist. And this is room for just over one trillion new trees.

Open Cloze

For this, we ______ the knowledge of experts all over the world. So we began ________ a new network. The more people we contacted, the more data we received, and the more clearly patterns began to emerge. With data from over 1.2 million forests, we were able to build new machine ________ models to predict ______ structure around the _____. For the first time, we could see that our earth is home to just over three trillion trees, almost half of what existed before human civilization. We could see where the different species are distributed and how carbon is ______ in this massive ______. But this approach could also show us something more ______________. Using the same models, we could begin to see where trees might naturally grow under the existing climate. And this suggested that outside of urban and agricultural areas, there's 0.9 billion ________ where trees would naturally exist. And this is room for just over one trillion new trees.

Solution

  1. learning
  2. transformative
  3. forest
  4. system
  5. needed
  6. stored
  7. world
  8. hectares
  9. building

Original Text

For this, we needed the knowledge of experts all over the world. So we began building a new network. The more people we contacted, the more data we received, and the more clearly patterns began to emerge. With data from over 1.2 million forests, we were able to build new machine learning models to predict forest structure around the world. For the first time, we could see that our earth is home to just over three trillion trees, almost half of what existed before human civilization. We could see where the different species are distributed and how carbon is stored in this massive system. But this approach could also show us something more transformative. Using the same models, we could begin to see where trees might naturally grow under the existing climate. And this suggested that outside of urban and agricultural areas, there's 0.9 billion hectares where trees would naturally exist. And this is room for just over one trillion new trees.

Frequently Occurring Word Combinations

ngrams of length 2

collocation frequency
climate change 5
restoration movement 3
global restoration 2
positive impact 2
silver bullet 2
ecological information 2

Important Words

  1. agricultural
  2. approach
  3. areas
  4. began
  5. billion
  6. build
  7. building
  8. carbon
  9. civilization
  10. climate
  11. contacted
  12. data
  13. distributed
  14. earth
  15. emerge
  16. exist
  17. existed
  18. existing
  19. experts
  20. forest
  21. forests
  22. grow
  23. hectares
  24. home
  25. human
  26. knowledge
  27. learning
  28. machine
  29. massive
  30. million
  31. models
  32. naturally
  33. needed
  34. network
  35. patterns
  36. people
  37. predict
  38. received
  39. room
  40. show
  41. species
  42. stored
  43. structure
  44. suggested
  45. system
  46. time
  47. transformative
  48. trees
  49. trillion
  50. urban
  51. world